Water productivity (WP), a performance indicator, defines if the agricultural production system uses the resources competently. Spatial information on crop WP is fundamental to knowing where a gap in WP exists along with underlying reasons within the gaps, where a crop production system performs well, and where developments are still possible to enhance the water-productive performance. 

This study proposes to assess spatial wheat WP in drought-prone northwestern Bangladesh. Both primary and secondary data, such as Sentinel 2 MSI, Landsat 8 OLI satellite images, actual evapotranspiration (ETa) from Lysimeter, and wheat farmers’ field data over the study area, were collected to accomplish this study (for details: Islam et al. 2023).

This study identifies high-performing bright and low-performing hot spots of WP across the northwest of Bangladesh. Finally, stakeholders and decision-makers can use the information to define priority areas, set goals for improvement, and justify the type of investment or measures for improving water-productive agriculture in Bangladesh.